Data Engineering Resources

The LLM Selection War Story: Part 2 - The Six LLM Failure Archetypes That Will Wreck Your Production System

Benchmarks test success. Production tests failure. Six critical LLM archetypes destroyed our systems — here's the testing framework that prevents 89% of incidents.

April 27, 2026

by Dinesh Elumalai

CORE

· 3,458 Views

Beyond Caching: Content Delivery Networks

How CDNs boost speed, security, and scalability. A guide for software engineers, professionals, and architects exploring modern web delivery.

April 27, 2026

by Ammar Husain

CORE

· 2,197 Views

How AI Is Rewriting the Rules of Software Security: Machine-Speed Delivery, Shifting Risk, and New Control Points

AI-driven development expands attack surfaces; this article shows how continuous security, zero trust, and runtime enforcement scale DevSecOps in AI pipelines

April 27, 2026

by Apostolos Giannakidis

CORE

· 2,720 Views · 2 Likes

Security Readiness Checklist: From AI Threats to Software Supply Chain Defense

Detect APTs with behavioral analytics and log correlation, building baselines and linking events to turn weak signals into actionable security detections.

April 27, 2026

by Akanksha Pathak

CORE

· 2,127 Views

Architecting Autonomous Agents: A Deep Dive into Azure AI Foundry Agent Service

Build enterprise-ready AI agents using Azure AI Foundry Agent Service with integrated tools, state management, and robust security.

April 27, 2026

by Jubin Soni, FBCS

CORE

· 2,182 Views

Treat PII as Toxic: Designing Secure Systems That Contain the Blast Radius

PII is toxic data. Design systems to isolate, encrypt, restrict access, and minimize breach impact by containing the blast radius.

April 27, 2026

by Satyam Nikhra

· 1,904 Views

Cost Efficiency and ROI: AI-Powered Testing vs Traditional Automation

This article explores how AI testing delivers faster results, higher productivity, and better ROI than traditional automation.

April 27, 2026

by priti gaikwad

· 1,714 Views

Preventing Prompt Injection by Design: A Structural Approach in Java

AI Query Layer lets you run safe, schema-validated AI queries with LLMs, managing inputs and outputs efficiently for finance, analytics, and apps.

April 24, 2026

by suman Baatth

· 4,021 Views · 4 Likes

88% of Executives Plan to Increase AI Budgets by 2026 - Are We Investing With Intent or Just Urgency?

AI budgets are rising fast, but most organizations lack maturity. Without strong security, governance, and MLOps, AI risks becoming an expensive experiment.

April 24, 2026

by Jaswinder Kumar

· 2,472 Views · 1 Like

Understanding the Shifting Protocols That Secure AI Agents

AI protocols are being adopted faster than security teams can assess them. Learn agentic protocol basics, their maturity levels, and when to implement them.

April 24, 2026

by Meir Wahnon

· 2,837 Views · 2 Likes

Frontier Agents: The Next Evolution of AI Applications

Learn how autonomous AI agents are evolving from reactive execution to self-aware, multi-agent systems with real-time evaluation and adaptive learning.

April 24, 2026

by Shivani Gupta

· 2,588 Views · 1 Like

The $50,000 Vector Database You Don't Need

The AI hype cycle has everyone convinced they need a specialized vector database like Pinecone, Weaviate take your pick, to build anything serious with RAG.

April 24, 2026

by Abhilash Rao Mesala

· 2,261 Views

AWS vs GCP Security: Best Practices for Protecting Infrastructure, Data, and Networks

A practical guide to securing AWS and GCP using IAM, encryption, network controls, and continuous monitoring to help improve resilience on the cloud.

April 24, 2026

by Kadir Arslan

· 2,743 Views

The Hidden Risk of SaaS-Based AI: You’re Training Models You Don’t Control

SaaS-based AI centralizes learning outside your organization. Each API call may improve shared models, shifting control and competitive leverage away from the data owner.

April 24, 2026

by Pradeep Dahiya

· 2,451 Views

8 RAG Patterns You Should Stop Ignoring

Learn about 8 RAG architectures for AI systems, from naive to agentic and hybrid, and how each improves accuracy, retrieval, and real-world performance.

April 24, 2026

by Damil Shahzad

· 4,527 Views · 1 Like

Why AI-Assisted Development Is Raising the Value of E2E Testing

AI-assisted coding increases change velocity and regression risk. That makes stronger E2E coverage for critical flows more important.

April 23, 2026

by Satyam Nikhra

· 2,741 Views · 2 Likes

Advanced Middleware Architecture For Secure, Auditable, and Reliable Data Exchange Across Systems

A secure, high-performance middleware using JWT, async messaging, and cryptographic auditing enables reliable, scalable, and fully traceable data exchange across systems.

April 23, 2026

by Abhijit Roy

· 2,788 Views

Gemini + Veo: A Deep Dive into Google’s High-Fidelity Video Generation Pipeline

A deep dive into Google's video generation stack, combining Gemini's reasoning with Veo's cinematic 1080p video production pipeline.

April 23, 2026

by Jubin Soni, FBCS

CORE

· 2,501 Views

Coding Agents Need a Feedback Loop; Cloud-Native Systems Make That Hard

The utility of coding agents compounds with the quality of their feedback loop. In cloud-native systems, closing that loop involves solving two problems.

April 23, 2026

by Arjun Iyer

· 2,534 Views

The LLM Selection War Story: Part 1 - Why Your Model Selection Process is Fundamentally Broken

Benchmark scores predicted our LLM would succeed. It failed spectacularly. Here's why 92% vs 89% means nothing and what metrics actually matter in production.

April 23, 2026

by Dinesh Elumalai

CORE

· 3,100 Views

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